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Can strong structural encoding reduce the importance of Message Passing?, , , and . TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 278-288. PMLR, (2023)Metric Flow Matching for Smooth Interpolations on the Data Manifold., , , , , , , and . CoRR, (2024)Beltrami Flow and Neural Diffusion on Graphs., , , , , and . NeurIPS, page 1594-1609. (2021)DRew: Dynamically Rewired Message Passing with Delay., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 12252-12267. PMLR, (2023)Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity., , , and . CoRR, (2024)Locality-Aware Graph-Rewiring in GNNs., , , , and . CoRR, (2023)On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7865-7885. PMLR, (2023)Edge Directionality Improves Learning on Heterophilic Graphs., , , , , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 25. PMLR, (2023)Locality-Aware Graph Rewiring in GNNs., , , , and . ICLR, OpenReview.net, (2024)Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs., , , , and . NeurIPS, (2022)